Available with: Microsoft Copilot Studio
Retail scenario: Return fraud detection agent
Scenario
Use Copilot Studio to create a return fraud detection agent
Identifies and flags potentially fraudulent return activity based on transaction patterns.
Analyzes customer transaction data including purchase behavior, past customer service data and returns for POS and ecommerce systems.

AI Agent
Benefit: Easily collects customer transaction data from POS/ ecommerce systems and quickly analyzes.
Detects anomalies in customer’s buying patterns such as excessive frequency, unusual volumes, or flagged item categories in return transactions to uncover potential fraud signals and continuously retrain on emerging fraud patterns.

AI Agent
Benefit: Helps spot risky return habits from customer’s buying patterns to prevent fraud and reduce lost sales.
Compares current return behavior against historical patterns to identify deviations that may signal fraud like returning used or damaged goods, defective returns, falsely claiming non-delivery etc.

AI Agent
Benefit: Spots new signs of fraud by comparing them to the customer’s past behavior and known issues.
Automatically generates detailed reports on suspected fraudulent return requests and sends real-time alerts to relevant teams.

AI Agent
Benefit: Creates fraud reports to help act fast and avoid wrongful payouts.
1Access Microsoft 365 Copilot Chat at m365copilot.com, or the Microsoft 365 Copilot Chat mobile app and set toggle to “Web”.
2Access Microsoft 365 Copilot Chat at m365copilot.com, the Microsoft 365 Copilot Chat mobile app, or the Microsoft 365 Copilot Chat app in Teams, and set toggle to “Work”.
3AI Agents allow Copilot to access your organization-specific apps. In the past this would have required an API call to get data from a system of record.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
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